Raphael Banz
Papers
7
Total Citations
231
H-Index
6
About
Raphael Banz is a pioneering researcher in neurorehabilitation robotics, whose work has fundamentally advanced how patients regain walking ability after neurological injury. His primary research areas encompass robot-assisted gait training, biofeedback systems, and the integration of virtual environments with rehabilitation technology. Banz’s most influential contribution is the development of computerized visual feedback as an adjunct to robotic-assisted gait training—a concept detailed in his highly cited 2008 paper (104 citations). This work established that augmented feedback, grounded in motor learning principles, could significantly enhance rehabilitation outcomes by improving patient motivation and participation. He further advanced the field by creating methods to estimate active patient participation during stepping in driven gait orthoses like the Lokomat, and by standardizing voluntary force measurements in lower extremity rehabilitation robots (57 citations). Banz also pioneered the combination of immersive virtual environments with robot-aided training, notably through his Virtual Performance-Enhancing Reality (ViPER) system. His innovative approaches to iterative learning synchronization and empirical assessment of walking performance have collectively shaped modern rehabilitation robotics, with his research amassing over 230 citations and influencing both clinical practice and subsequent technological development in movement rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1Computerized Visual Feedback: An Adjunct to Robotic-Assisted Gait Training104 citations · 2008
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- 4Iterative Learning Synchronization of Robotic Rehabilitation Tasks18 citations · 2007
- 5Combining Immersive Virtual Environments with Robot-Aided Gait Training14 citations · 2007
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